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https://issues.apache.org/jira/browse/IOTDB-3801?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17574081#comment-17574081
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xiaozhihong commented on IOTDB-3801:
------------------------------------

rel/0.13分支和master分支已做更新,如图所示:
!image-2022-08-02-15-32-12-918.png!

> inclutding TEXT datatype to execute SessionExample.py ,then report an error
> ---------------------------------------------------------------------------
>
>                 Key: IOTDB-3801
>                 URL: https://issues.apache.org/jira/browse/IOTDB-3801
>             Project: Apache IoTDB
>          Issue Type: Bug
>          Components: Client/Python
>    Affects Versions: 0.14.0-SNAPSHOT, 0.13.1-SNAPSHOT
>            Reporter: xiaozhihong
>            Assignee: Haonan Hou
>            Priority: Major
>         Attachments: image-2022-08-02-15-32-12-918.png
>
>
> Whether V0.13.1 or V0.14.0, there is this problem: executing 
> SessionExample.py, including the text data type,then reports an error.
> {code:java}
> import numpy as np
> from iotdb.Session import Session
> from iotdb.utils.IoTDBConstants import TSDataType, TSEncoding, Compressor
> from iotdb.utils.Tablet import Tablet
> from iotdb.utils.NumpyTablet import NumpyTablet
> # creating session connection.
> ip = "127.0.0.1"
> port_ = "6667"
> username_ = "root"
> password_ = "root"
> session = Session(ip, port_, username_, password_, fetch_size=1024, 
> zone_id="UTC+8")
> session.open(False)
> measurements_ = ["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"]
> data_types_ = [
>     TSDataType.BOOLEAN,
>     TSDataType.INT32,
>     TSDataType.INT64,
>     TSDataType.FLOAT,
>     TSDataType.DOUBLE,
>     TSDataType.TEXT,
> ]
> # insert one numpy tablet into the database.
> np_values_ = [
>     np.array([False, True, False, True], np.dtype('<?')),
>     np.array([10, 100, 100, 0], np.dtype('<i4')),
>     np.array([11, 11111, 1, 0], np.dtype('<i8')),
>     np.array([1.1, 1.25, 188.1, 0], np.dtype('<f4')),
>     np.array([10011.1, 101.0, 688.25, 6.25], np.dtype('<f8')),
>     ["test01", "test02", "test03", "test04"],
> ]
> np_timestamps_ = np.array([1, 2, 3, 4], np.dtype('<i8'))
> np_tablet_ = NumpyTablet(
>     "root.sg_test_01.d_02", measurements_, data_types_, np_values_, 
> np_timestamps_
> )
> session.insert_tablet(np_tablet_)
> # close session connection.
> session.close()
> print("All executions done!!") {code}



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